Intelligent Video Analysis Method for Pedestrians Crossing Zebra Crossing

Abstract

The invention discloses an intelligent video analysis method for pedestrians crossing a zebra crossing, which includes the following process: Step 1: Set up a video analysis system near the zebra crossing, start the video analysis system at a preset time point, and collect video information data in real time with a camera, And the video information data is transmitted to the video analyzer; Step 2: the video analyzer analyzes the video information data and judges the status of the traffic light, if the red light starts the intrusion alarm function of the intelligent alarm module; if it is a green light or a yellow light, then Start the function of playing reminder information of the intelligent alarm module; step 3: close the video analysis system at the preset time point, and store the video information data of the day before closing the video analysis system. Through the above scheme, the present invention realizes a unique intelligent video analysis method for urban zebra crossing traffic lights and moving pedestrians, realizes the intrusion detection of zebra crossing pedestrians at red lights, and performs intelligent audio and video alarms according to the detection results.

Description

Technical field [0001] The invention relates to the technical field of video analysis methods, in particular to a video analysis method for intelligently analyzing pedestrians crossing a zebra crossing and running a red light. Background technique [0002] At present, the urban population is increasing, and the various vehicles driving in the city are increasing at an explosive rate. Because the pace of urban life is relatively fast, zebra crossings always stage scenes of life and death, and form a Chinese-style red light. The habit of crossing the road. [0003] In order for pedestrians to take the zebra crossing as a fixed custom and not to cross the red light to cross the zebra crossing as a virtue, it is necessary to publicize and advertise civilized transportation to the masses, and how to let the masses have a good way to be promoted In addition to the effect of on-site supervision, generally speaking, installing a civilized traffic advocacy device near the zebra crossing at...

AI Technical Summary

Problems solved by technology

Although this invention can capture the actions of pedestrians crossing the road in real time and use this to judge whether the pedestrian has run a red light while crossing the road, and analyze and monitor human body movements in real time, but to realize the real-time analysis process, it is necessary to first establish a three-dimensional human body Model, by obtaining static human body posture image sequences at different sampling moments to track and calibrate the human body movement state, and matching the image with a predefined human body model, so as to obtain the human body movement parameters at each sampling moment. If the number of static human body posture image sequences is too small, there will be a problem of low accuracy, and if in order to improve the accuracy rate, it is necessary to collect a large number of static human body posture image sequences at different times, and pedestrians crossing the zebra crossing at every moment of every day have different are not the same, so even if the number of collections is large enough, it still cannot achieve high accuracy, nor can it perform adaptive updates according to new changes in pedestrians, so its accuracy cannot meet a very high requirement; secondly, in the process, It is necessary to match the collected images with the existing human body models. It is necessary to first perform image processing and local matting on the collected images, and then match them with a large number of models in the database. The calculation of the whole process is complex, and the hardware High requirements and long calculation time are not suitable for instant alarm processing at the zebra crossing position

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